# import numpy as np
# import pandas as pd
# arr=np.random.randint(1,100,5)
# print('一维原始数组:\n',arr)
# print('等差分段离散化数据:\n',pd.cut(arr,bins=5))
# print('自定义分段离散化数据:\n',pd.cut(arr,bins=[0,20,40,60,80,100]))
# print('自定义分段离散化数据，并设置分段标签:\n',pd.cut(arr,bins=[0,20,40,60,80,100],labels=['0+','20+','40+','60+','80+']))
